Results 31 to 40 of about 223,248 (273)
An Optimum Deraining Scheme using Sparse Coding
International Journal of Emerging Research in Engineering, Science, and Management, 2022 Rain streak removal is a challenging and interesting task of image processing where the rain streaks will be removed from an image with rain streaks. In the literature, a large number of proposals are made where rain streak removal is considered as image
A Hazarathaiah +4 more
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IEEE Transactions on Information Theory, 2014 51 pages, 12 figures, submitted to IEEE Transactions on Information ...
Yang, Shenghao, Yeung, Raymond W.
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Local structure preserving sparse coding for infrared target recognition. [PDF]
PLoS ONE, 2017 Sparse coding performs well in image classification. However, robust target recognition requires a lot of comprehensive template images and the sparse learning process is complex.
Jing Han +3 more
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Sparse representation of salient regions for no-reference image quality assessment
International Journal of Advanced Robotic Systems, 2016 This paper introduces an efficient feature learning framework via sparse coding for no-reference image quality assessment. The important part of the proposed framework is based on sparse feature extraction from a sparse representation matrix, which is ...
Tianpeng Feng +5 more
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Representation Learning via Cauchy Convolutional Sparse Coding
IEEE Access, 2021 In representation learning, Convolutional Sparse Coding (CSC) enables unsupervised learning of features by jointly optimising both an $\ell _{2}$ -norm fidelity term and a sparsity enforcing penalty.
Perla Mayo +3 more
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An Improved Robust Sparse Coding for Face Recognition with Disguise
International Journal of Advanced Robotic Systems, 2012 Robust vision-based face recognition is one of most challenging tasks for robots. Recently the sparse representation-based classification (SRC) has been proposed to solve the problem.
Dexing Zhong +3 more
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A Fast Sparse Coding Method for Image Classification
Applied Sciences, 2019 Image classification is an important problem in computer vision. The sparse coding spatial pyramid matching (ScSPM) framework is widely used in this field.
Mujun Zang +4 more
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SpaRec: Sparse Systematic RLNC Recoding in Multi-Hop Networks
IEEE Access, 2021 Sparse Random Linear Network Coding (RLNC) reduces the computational complexity of the RLNC decoding through a low density of the non-zero coding coefficients, which can be achieved through sending uncoded (systematic) packets.
Elif Tasdemir +6 more
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Sparse-View Ct Reconstruction Via Convolutional Sparse Coding [PDF]
2019 IEEE 16th International Symposium on Biomedical Imaging (ISBI 2019), 2019 Traditional dictionary learning based CT reconstruction methods are patch-based and the features learned with these methods often contain shifted versions of the same features. To deal with these problems, the convolutional sparse coding (CSC) has been proposed and introduced into various applications.
Bao, Peng +4 more
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Sparse Coding and Autoencoders
, 2017 In "Dictionary Learning" one tries to recover incoherent matrices $A^* \in \mathbb{R}^{n \times h}$ (typically overcomplete and whose columns are assumed to be normalized) and sparse vectors $x^* \in \mathbb{R}^h$ with a small support of size $h^p$ for ...
Arora, Ashish +6 more
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